def batch():
subjs = [x for x in os.listdir(behavdir) if re.search('^\d{6}\w{2}$', x)]
subjs = sorted(subjs)
expt = {}
for subj in subjs:
print 'Working on subject %s...' % (subj)
sess = readall(subj)
for run in sess:
mspec.cleanFld(run, excconds)
mspec.cleanRT(run, condrules, sdtrim)
specname = '%s/model_%s.m' % (specdir, subj)
mspec.writespec(specname, sess, \
condnames, condrules, params=params, modelExc=True)
# With polynomial expansion
specname = '%s/model_poly_%s.m' % (specdir, subj)
mspec.writespec(specname, sess, \
condnames, condrules, params=params_poly, modelExc=True)
#
specname = '%s/model_fir_%s.m' % (specdir, subj)
mspec.writespec(specname, sess, \
condnames, condrules, params=params, modelExc=True, offset=-8*1.25)
expt[subj] = sess
def analyzesubj(subjname, condrules, dv='rt'):
if dv == 'rt':
tmpexcconds = behavrtexcconds
elif dv == 'acc':
tmpexcconds = behavaccexcconds
else:
print 'Invalid DV: %s' % (dv)
return
trials = []
sess = readall(subjname)
for run in sess:
mspec.cleanFld(run, tmpexcconds)
mspec.cleanRT(run, condrules, sdtrim)
trials.extend(run)
inctrials = [t for t in trials if 'include' not in t
or t['include']]
res = {}
for cond in condrules:
condtrials = [t for t in inctrials if condrules[cond](t)]
if dv == 'rt':
res[cond] = mean([t['rt'] for t in condtrials if t['rt']])
elif dv == 'acc':
res[cond] = len([t for t in condtrials if t['acc'] == 'hit']) / float(len(condtrials))
return res
def writebehav():
subjs = [x for x in os.listdir(behavdir) if re.search('^\d{6}\w{2}$', x)]
subjs = sorted(subjs)
expt = {}
out = open('%s/behav.m' % (scriptdir), 'w')
for subj in subjs:
print 'Working on subject %s...' % (subj)
sess = readall(subj)
for run in sess:
run = mspec.addadj(run, 'iti', -1)
print run[0].keys()
acctrials = []
rttrials = []
for run in sess:
accrun = copy.deepcopy(run)
mspec.cleanFld(accrun, accexcconds)
mspec.cleanRT(accrun, condrules, sdtrim)
acctrials.extend(accrun)
rtrun = copy.deepcopy(run)
mspec.cleanFld(rtrun, rtexcconds)
mspec.cleanRT(rtrun, condrules, sdtrim)
rttrials.extend(rtrun)
for cond in bcondrules:
ccond = cond.replace('-', '')
acccondtrials = [t for t in acctrials \
if bcondrules[cond](t) and t['include']]
meanacc = len([t for t in acccondtrials \
if t['acc'] == 'hit']) / float(len(acccondtrials))
out.write('acc.%s.s%s = %f;\n' % \
(ccond, subj, meanacc))
rtcondtrials = [t for t in rttrials \
if bcondrules[cond](t) and t['include']]
meanrt = sum([t['rt'] for t in rtcondtrials]) \
/ float(len(rtcondtrials))
out.write('rt.%s.s%s = %f;\n' % \
(ccond, subj, meanrt))
out.close()
def checkomit():
#
subjs = [x for x in os.listdir(behavdir) if re.search('^\d{6}\w{2}$', x)]
subjs = sorted(subjs)
for subj in subjs:
sess = readall(subj)
for run in sess:
mspec.cleanFld(run, behavaccexcconds)
mspec.cleanRT(run, condrules, sdtrim)
omittrials = [t for t in run if t['task'] == 'simple' and t['acc'] == 'miss']
if omittrials:
print len(omittrials)
def rthist_subj(subjname):
runs = readall(subjname)
trials = reduce(lambda x, y: x + y, runs, [])
mspec.cleanFld(trials, behavrtexcconds)
inctrials = [t for t in trials if t['include']]
all_rts = array([t['rt'] for t in inctrials])
mean_rt = all_rts.mean()
std_rt = all_rts.std()
for t in inctrials:
t['zrt'] = (t['rt'] - mean_rt) / std_rt
rts = {}
for cond in condrules:
rts[cond] = [t['zrt'] for t in inctrials if condrules[cond](t)]
return rts
